Atomic-Level Precision for the Next Generation of Electronics
As conventional silicon chips approach their physical limits, scientists are searching for new materials that can sustain the pace of miniaturization. Now, researchers at Princeton University have developed a promising plasma-processing technique that could help engineers build smaller, faster, and more energy-efficient computer chips.
The breakthrough centers on ultrathin materials known as transition metal dichalcogenides (TMDs), which many experts view as strong candidates for next-generation transistors. Among them, molybdenum disulfide (MoS₂) has attracted significant attention because it is only a few atoms thick. However, manufacturers must remove specific atomic layers without harming the material beneath them, a challenge that has slowed progress toward commercial applications.
Using Chemistry to Improve Plasma Etching
To overcome this obstacle, the Princeton-led team used advanced computer simulations to examine how plasma interacts with molybdenum disulfide. The researchers discovered that oxygen or fluorine coatings can dramatically improve control over the etching process.
Under normal conditions, engineers rely on high-energy plasma particles to dislodge sulfur atoms from the material’s surface. However, these energetic particles can also damage deeper layers. The team found that oxygen and fluorine reduce the amount of energy required to remove the top sulfur atoms, giving manufacturers a much larger operating window.
Rather than depending entirely on physical force, the new method harnesses chemical reactions to remove atoms more efficiently. Oxygen reacts with sulfur to create sulfur dioxide gas, while fluorine forms sulfur-fluorine compounds. These reaction products detach from the surface more easily, allowing engineers to strip away only the targeted atomic layer with remarkable precision.
A Step Toward More Advanced Chips
This discovery could give semiconductor manufacturers a powerful new tool for fabricating transistors from atomically thin materials. By improving control at the atomic scale, the technique may accelerate the development of smaller, more powerful chips for future computers, smartphones, and artificial intelligence systems.
The researchers also plan to explore whether the same approach can enhance processing in other advanced materials. If successful, the strategy could influence a wide range of semiconductor technologies and help drive the next wave of electronic innovation.
